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Field
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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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addresses immediate healthcare needs but also fosters ongoing innovation and collaboration within the African continent and beyond. The group: The successful candidate will join the Artificial Intelligence in
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. TITLE OF THE POSITION OFFERED: Pre-doctoral researcher in Artificial Intelligence applied to bionic prostheses. SUBJECT AREA: Engineering. TYPE OF CONTRACT: Indefinite duration. PROFESSIONAL CATEGORY
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INARTRANS 4.0: Digital transition towards an advanced industry in artificial intelligence solutions for the transport infrastructure sector. Activities to be carried out within the framework of the project: 1
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biomedical signal processing and artificial intelligence applied to cardiovascular health, with extensive collaboration with hospitals and international research partners. Selection process Interested
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algorithms to develop intelligent resource detection models. This position is funded under the HUNOSA-25-2 project and offers a unique opportunity to contribute to cutting-edge research in planetary science
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to staff position within a Research Infrastructure? No Offer Description «Artificial Intelligence for complex systems: brain, earth, climate, society. CPI-25-563», Programa Prometeu per a grups
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intelligence. Specific Requirements Requirements: Advanced knowledge of Python programming, with experience in Jupyter Notebook and Anaconda. Knowledge in Artificial Intelligence, particularly in explainable AI
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Engineering Specific Requirements Computer Engineer with a Master's degree in Artificial Intelligence and experience in computer vision and data analysis in the field of precision agriculture
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Science. Teaching profile: Area 1: Computer systems and languages. Area 2: Computer science and artificial intelligence. Research profile: Area 1: Computer systems and languages. Area 2: Computer science and